I am a 2024 graduate from Stony Brook University that hopes to break into the technology field. I majored in Information Systems with a specialization in Network and System Administration. The purpose of this digital portfolio was to have a comprehensive list of all my work and achievements for my peers and employers to get to know more about me.
My Linkedin
Over the past four years, I have gained valuable experience across diverse roles, each contributing to my growth and skill development. From working as an IT Systems Intern at SBU’s IT Department to being a software engineering fellow at Headstarter AI, I have had the opportunity to hone my teamwork and communication abilities, demonstrating my adaptability and commitment in various professional settings.
My Resume
In the past few years, I have had the opportunity to work on a diverse range of projects both within the academic curriculum at SBU and in my personal endeavors. These projects have spanned various fields and allowed me to experiment with different technologies.
My GithubHere are some key highlights about me, including significant projects I've worked on and notable positions I've held.
CardQuest is an interactive web-based tool that helps users efficiently retain knowledge using customizable flashcards. Users can create, save, and review flashcards while tracking their progress with comprehensive statistics and performance feedback.
Used: JavaScript, React, Next.js, Firebase, Clerk, Stripe, Open AI, Material-UI
This project is a support assistant built to enhance the "Rate My Professor" platform using advanced AI and database technologies. The assistant helps students find the most suitable professors based on their queries by retrieving and analyzing relevant data.
Used: React, Next.js, Material-UI, Pinecone, Jupyter Notebook, Open AI, Node.js
The Kitchen Helper is a versatile tool with two core features: the Pantry Tracker for managing and sorting your inventory, and the Recipe Generator for creating recipes based on available ingredients. It streamlines pantry management and recipe creation, making meal planning easier and more efficient.
Used: React, Next.js, Javascript, Material-UI, Node.js, Firebase, and the Google Gemini API
This script analyzes TCP flow data by parsing packets to identify sender and receiver roles, calculate throughput, and determine congestion window sizes and retransmission events. It helps in understanding network performance and diagnosing issues such as packet loss and throughput variations.
Used: Python and Wireshark